Multi-scale mining of kinematic distributions with wavelets

Benjamin Lillard, Tilman Plehn, Alexis Romero, Tim Tait
2020 SciPost Physics  
Typical LHC analyses search for local features in kinematic distributions. Assumptions about anomalous patterns limit them to a relatively narrow subset of possible signals. Wavelets extract information from an entire distribution and decompose it at all scales, simultaneously searching for features over a wide range of scales. We propose a systematic wavelet analysis and show how bumps, bump-dip combinations, and oscillatory patterns are extracted. Our kinematic wavelet analysis kit KWAK
more » ... ysis kit KWAK provides a publicly available framework to analyze and visualize general distributions.
doi:10.21468/scipostphys.8.3.043 fatcat:rnwzbkizmveqvd5fl75ndmwbju